TransPi
TransPi assembles de novo transcriptomes from RNA-Seq data to generate high-quality, reduced-redundancy consensus transcriptome assemblies for downstream analyses in non-model organisms.
Key Features:
- Workflow engine: Implemented on the Nextflow workflow manager for automated execution of the computational pipeline.
- Multi-assembler strategy: Employs multiple assemblers and parameter sets to produce a consensus assembly and minimize redundancy.
- Automated RNA-Seq processing: Provides an automated pipeline for RNA-Seq data processing and assembly generation.
- Quality assessment tools: Integrates BUSCO for completeness evaluation, TransDecoder for open reading frame (ORF) prediction, and Trinotate for gene ontology annotation.
- Performance metrics: Produces assemblies with higher BUSCO completeness percentages and reduced duplication rates relative to single-assembler approaches.
- Validation on diverse taxa: Evaluated on 49 non-model organisms spanning multiple phyla.
Scientific Applications:
- Differential gene expression: Provides reference transcriptomes for RNA-Seq–based differential expression analyses.
- DNA enrichment bait design: Supplies assembled transcript sequences suitable for designing DNA enrichment baits.
- Phylogenetics: Enables phylogenetic studies using transcriptomic data from non-model species.
- Reference transcriptome generation: Produces reduced-redundancy transcriptomes to explore genetic diversity and evolutionary relationships in species lacking genomes.
Methodology:
Built on Nextflow, the pipeline applies a multi-assembler approach with multiple parameter sets to create a consensus assembly, evaluates completeness with BUSCO, predicts ORFs with TransDecoder, and performs annotation with Trinotate using RNA-Seq input.
Topics
Details
- Tool Type:
- command-line tool, library, workflow
- Programming Languages:
- Python, Shell
- Added:
- 3/19/2021
- Last Updated:
- 4/23/2021
Operations
Publications
Rivera-Vicéns R, Garcia-Escudero C, Conci N, Eitel M, Wörheide G. TransPi – a comprehensive TRanscriptome ANalysiS PIpeline for <i>de novo</i> transcriptome assembly. Unknown Journal. 2021. doi:10.1101/2021.02.18.431773.